Individuals with common diseases but with a low polygenic risk score could be prioritized for rare variant screening

被引:43
|
作者
Lu, Tianyuan [1 ,2 ]
Zhou, Sirui [1 ]
Wu, Haoyu [1 ,3 ]
Forgetta, Vincenzo [1 ]
Greenwood, Celia M. T. [1 ,3 ,4 ,5 ]
Richards, J. Brent [1 ,3 ,4 ,6 ]
机构
[1] Jewish Gen Hosp, Ctr Clin Epidemiol, Lady Davis Inst Med Res, Montreal, PQ, Canada
[2] McGill Univ, Quantitat Life Sci Program, Montreal, PQ, Canada
[3] McGffl Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[4] McGffl Univ, Dept Human Genet, Montreal, PQ, Canada
[5] McGill Univ, Gerald Bronfman Dept Oncol, Montreal, PQ, Canada
[6] Kings Coll London, Dept Twin Res & Genet Epidemiol, London, England
基金
加拿大健康研究院;
关键词
rare variants; polygenic risk scores; exome sequencing; patient prioritization; risk stratification; BREAST-CANCER; BIOBANK; PREDICTION; MUTATIONS; DISCOVERY; DIAGNOSIS; GENOME;
D O I
10.1038/s41436-020-01007-7
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Purpose Identifying rare genetic causes of common diseases can improve diagnostic and treatment strategies, but incurs high costs. We tested whether individuals with common disease and low polygenic risk score (PRS) for that disease generated from less expensive genome-wide genotyping data are more likely to carry rare pathogenic variants. Methods We identified patients with one of five common complex diseases among 44,550 individuals who underwent exome sequencing in the UK Biobank. We derived PRS for these five diseases, and identified pathogenic rare variant heterozygotes. We tested whether individuals with disease and low PRS were more likely to carry rare pathogenic variants. Results While rare pathogenic variants conferred, at most, 5.18-fold (95% confidence interval [CI]: 2.32-10.13) increased odds of disease, a standard deviation increase in PRS, at most, increased the odds of disease by 5.25-fold (95% CI: 5.06-5.45). Among diseased patients, a standard deviation decrease in the PRS was associated with, at most, 2.82-fold (95% CI: 1.14-7.46) increased odds of identifying rare variant heterozygotes. Conclusion Rare pathogenic variants were more prevalent among affected patients with a low PRS. Therefore, prioritizing individuals for sequencing who have disease but low PRS may increase the yield of sequencing studies to identify rare variant heterozygotes.
引用
收藏
页码:508 / 515
页数:8
相关论文
共 50 条
  • [21] Polygenic risk score to the rescue of monogenic diseases? The case of epilepsy
    De Sainte Agathe, Jean-Madeleine
    Leguern, Eric
    EBIOMEDICINE, 2025, 111
  • [22] Polygenic risk score is a predictor of adenomatous polyps at screening colonoscopy
    Northcutt, Michael J.
    Shi, Zhuqing
    Zijlstra, Michael
    Shah, Ayush
    Zheng, Siqun
    Yen, Eugene F.
    Khan, Omar
    Beig, Mohammad Imran
    Imas, Polina
    Vanderloo, Adam
    Ansari, Obaid
    Xu, Jianfeng
    Goldstein, Jay L.
    BMC GASTROENTEROLOGY, 2021, 21 (01)
  • [23] Polygenic risk score is a predictor of adenomatous polyps at screening colonoscopy
    Michael J. Northcutt
    Zhuqing Shi
    Michael Zijlstra
    Ayush Shah
    Siqun Zheng
    Eugene F. Yen
    Omar Khan
    Mohammad Imran Beig
    Polina Imas
    Adam Vanderloo
    Obaid Ansari
    Jianfeng Xu
    Jay L. Goldstein
    BMC Gastroenterology, 21
  • [24] How can polygenic inheritance be used in population screening for common diseases?
    Khoury, Muin J.
    Janssens, A. Cecile J. W.
    Ransohoff, David F.
    GENETICS IN MEDICINE, 2013, 15 (06) : 437 - 443
  • [25] Polygenic Risk Score for Early Prediction of Sepsis Risk in the Polytrauma Screening Cohort
    Lu, Hongxiang
    Wen, Dalin
    Sun, Jianhui
    Du, Juan
    Qiao, Liang
    Zhang, Huacai
    Zeng, Ling
    Zhang, Lianyang
    Jiang, Jianxin
    Zhang, Anqiang
    FRONTIERS IN GENETICS, 2020, 11
  • [26] Integration of polygenic and gut metagenomic risk prediction for common diseases
    Yang Liu
    Scott C. Ritchie
    Shu Mei Teo
    Matti O. Ruuskanen
    Oleg Kambur
    Qiyun Zhu
    Jon Sanders
    Yoshiki Vázquez-Baeza
    Karin Verspoor
    Pekka Jousilahti
    Leo Lahti
    Teemu Niiranen
    Veikko Salomaa
    Aki S. Havulinna
    Rob Knight
    Guillaume Méric
    Michael Inouye
    Nature Aging, 2024, 4 : 584 - 594
  • [27] Integration of polygenic and gut metagenomic risk prediction for common diseases
    Liu, Yang
    Ritchie, Scott C.
    Teo, Shu Mei
    Ruuskanen, Matti O.
    Kambur, Oleg
    Zhu, Qiyun
    Sanders, Jon
    Vazquez-Baeza, Yoshiki
    Verspoor, Karin
    Jousilahti, Pekka
    Lahti, Leo
    Niiranen, Teemu
    Salomaa, Veikko
    Havulinna, Aki S.
    Knight, Rob
    Meric, Guillaume
    Inouye, Michael
    NATURE AGING, 2024, 4 (04): : 453 - 463
  • [28] Polygenic risk for triglyceride levels in the presence of a high impact rare variant
    Ying, Shengjie
    Heung, Tracy
    Thiruvahindrapuram, Bhooma
    Engchuan, Worrawat
    Yin, Yue
    Blagojevic, Christina
    Zhang, Zhaolei
    Hegele, Robert A.
    Yuen, Ryan K. C.
    Bassett, Anne S.
    BMC MEDICAL GENOMICS, 2023, 16 (01)
  • [29] Polygenic risk for triglyceride levels in the presence of a high impact rare variant
    Shengjie Ying
    Tracy Heung
    Bhooma Thiruvahindrapuram
    Worrawat Engchuan
    Yue Yin
    Christina Blagojevic
    Zhaolei Zhang
    Robert A. Hegele
    Ryan K. C. Yuen
    Anne S. Bassett
    BMC Medical Genomics, 16
  • [30] Performance of polygenic risk scores in screening, prediction, and risk stratification: secondary analysis of data in the Polygenic Score Catalog
    Hingorani, Aroon D.
    Gratton, Jasmine
    Finan, Chris
    Schmidt, A. Floriaan
    Patel, Riyaz
    Sofat, Reecha
    Kuan, Valerie
    Langenberg, Claudia
    Hemingway, Harry
    Morris, Joan K.
    Wald, Nicholas J.
    BMJ MEDICINE, 2023, 2 (01):